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OKTAL : Jurnal Ilmu Komputer dan Sains
Published by CV. Multi Kreasi Media
ISSN : -     EISSN : 28282442     DOI : -
Core Subject : Science, Social, Engineering,
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences
1. Komputasi Lunak, 2. Sistem Cerdas Terdistribusi, Manajemen Basis Data, dan Pengambilan Informasi, 3. Komputasi evolusioner dan komputasi DNA/seluler/molekuler, 4. Deteksi kesalahan, 5. Sistem Energi Hijau dan Terbarukan, 6. Antarmuka Manusia, 7. Interaksi Manusia-Komputer, 8. Hibrida dan Algoritma Terdistribusi Pemrosesan Informasi Manusia, 9. Komputasi Berkinerja Tinggi, 10. Penyimpanan informasi, 11. Keamanan, integritas, privasi, dan kepercayaan, 12. Pemrosesan Sinyal Gambar dan Ucapan, 13. Sistem Berbasis Pengetahuan, 14. Jaringan Pengetahuan, 15. Multimedia dan Aplikasi, 16. Sistem Kontrol Jaringan, 17. Klasifikasi Pola Pemrosesan Bahasa Alami, 18. Pengenalan dan sintesis ucapan, 19. Kecerdasan Robot, 20. Analisis Kekokohan, 21. Kecerdasan Sosial, 22. Statistic 23. Komputasi grid dan kinerja tinggi, 24. Realitas Virtual dalam Aplikasi Rekayasa, 25. Intelijen Web dan Seluler, 26. Data Besar, 27. Manajemen Informatika, 28. Sistem Informasi, 29. Desain Permainan, 30. Sistem Multimedia, 31. Pemrosesan Gambar, 32. IOT 33. Pemrograman Seluler, 34. Desain Basis Data, 35. Pemrograman Jaringan, 36. Sistem Terdistribusi, 37. Sistem Pendukung Keputusan, 38. Sistem Pakar, 39. Kriptografi, 40. Model dan Simulasi, 41. Jaringan 42. Perhitungan 43. Metematika 44. Kimia 45. Teknik Elektro 46. Robotik 47. Fisika
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,093 Documents
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Analisis dan Implementasi Marketing Analyst pada Website Ekatama Precast Indonesia Sofyan Mufti Prasetiyo; Rizki Octavian; Nadha Ilham Taqbir Djuanda; Saiful Rohman
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Advances in technology can no longer be denied, now that they have changed the views, mindsets and habits of all levels of society, now almost every company has a Marketing Analyst, namely professionals who have the task of conducting data analysis in an effort to support the marketing business. The method used is using interviews and direct implementation at PT. Ekatama Precast Indonesia. The purpose of this research is to apply the mandate of the Marketing Analyst as a way to maximize marketing and promotion. The results of this study are that the implementation of Marketing Analyst using the SEO method is very influential on the website and makes the website one page of Google.
Rancang Bangun Sistem Informasi Manajemen Aset Inventaris Berbasis Web Dengan Menggunakan Model Waterfall (Studi Kasus : SMPN 02 Cisoka) Rafi Apriyana; Fajar Septian
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The development in the field of information technology has a very big influence in the world of work, especially in the field of management, old systems are starting to be replaced by new systems which are the result of increasingly advanced technological developments . One of them is the use of a management information system which is a must in an agency, which is generally used to process data into an accurate information to improve performance in order to more effectively and efficiently so as to support the purpose of the agency that in making a decision. To provide maximum service, in a space sphere schools need no activity management of assets as one of the main activities that deal with issues of procurement type of asset in supporting the needs of operational school . For management of assets in SMPN 2 Cisoka as long as it is still done manually without having to do management in it that give rise to various problems such as when recording an asset that causes detail the assets held is not clear. Based on the above services have been properly made system of information management of assets as one of the alternatives to improve the performance of the administration in SMP Negeri 2 Cisoka. With the made system of information management asset, the processing of existing assets in SMPN 2 Cisoka will be arranged by effectively and efficiently, the data amount of assets will be seen moreclearly.
ARTIFICIAL INTELLIGENCE DALAM KESEHATAN DAN KESELAMATAN KERJA DI BIDANG KELISTRIKAN Sofyan Mufti Prasetiyo; Apriwinda Rahmayani; Auli Melania
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Artificial intelligence has become one of humanity's greatest technological inventions. With artificial intelligence, human work becomes easier. Artificial intelligence can be a factor in progress in the electricity sector, especially in terms of security. One of the functions of developing artificial intelligence in Occupational Health and Safety (K3) is in detecting hazards, such as detecting workers who have not used Personal Protective Equipment (PPE) by using technology such as Neural Networks, Computer Vision, and Object Recognition or detecting land conditions that are will be used for Grounding with Fuzzy Logic. This is expected to reduce the risk of hazards in the work environment.
Otomatisasi Pengujian Aplikasi Scraping Profil Pengguna Facebook Menggunakan Selenium Muhammad Adji Assalmi; Diki Hidayat; Aldiyansyah; Ibnu Solihah Taghalli; Aries Saifudin
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This research describes how to automate testing scraping applications to automatically retrieve Facebook user profile data. In the digital age, data is extremely valuable. Because data can be processed into new knowledge that can be used in all areas of life such as education, business and business. Facebook is a place where a lot of data is stored. Getting data from Facebook is not easy. I need a technique that my bot can use to crawl Facebook pages, retrieve user profile data, and group it by profile category. The technique is to create a bot out of Selenium. The stages of this research process are: Understand the HTML structure of Facebook pages to find patterns in Facebook profile data. A bot is then developed that can open the user's profile page, retrieve the profile data, and parse it against the patterns in her HTML structure on the Facebook page. Experimented on the web at a speed of 20 Mbit/s, the bot was able to retrieve the details of 100 Facebook user profiles of her in 20 minutes.
Perbandingan Metode SAW, WP, Dan TOPSIS Dalam Pemilihan Rumah Kost Mahasiswa Di Pontianak Shendy Nurhidayat; Alfi Maulana; Wisnu Gama Kusuma; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The number of factors that must be taken into account and considered in making a decision is one of the problems that exist and must be faced by decision makers. This is also the case with students who are going to rent a boarding house. Many factors must be considered and taken into account by students in choosing a boarding house, including the distance from the boarding house to the campus, the distance from the main road to the campus, the size of the room, security, curfew restrictions, rental prices and the type of boarding house. To overcome existing problems, To assist in determining the decision making, a Decision Support System (DSS) approach is used. The criteria used include: location, price, facilities, room size, security. This study aims to analyze the results of the Simple Additive Weighting (SAW), Weighted Product (WP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods so that it can be determined which method is more relevant to be implemented in the case of selecting student boarding houses. This research will discuss the process of selecting student boarding houses by analyzing three methods, namely the Simple Additive Weighting (SAW) method, the Weighted Product (WP) method and the Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS method). Although in general the three methods are relatively equally relevant.
Rancangan Aplikasi Mobile Agribis Investasi Syari’ah Asep Yudistira Saputra; Safitri Ristanti; Sultan Rafly Sya’Ban; Sofyan Mufti Prasetiyo
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

With the advent of the Industrial Age 4.0, technological developments occurred in various fields, such as agriculture. Basically there are many programs that help rural workers such as iGrow, TaniFund and Tanijoy. However, farmers find it difficult to obtain the funds needed to cultivate their land, because many conditions are needed, such as: a minimum land area, joining a farmer group, or having a business entity. With that in mind, we hope to have an application that is easy to use and combines the functions of several applications into one. An example is the agribis Invest shari'ah mobile application, which is expected to be the answer. Mobile agribis invests Syari'ah can provide information about the land to be invested and other information about agriculture. With a sharia-based investment system. Sharia investment products that use sharia principles in their system use profit sharing contracts. Investments from an Islamic perspective can only be made on instruments that are in accordance with Islamic Shari'a and do not contain usury. Investments can also only be made on securities issued by parties (issuers) that do not conflict with Shari'ah. The methodology used in developing this application is research and development (R&D). The Islamic Investment agribis Mobile prototype was initially implemented in a pilot area with support. This is done so that the quality of the data entered by farmers meets the standards set.
Perancangan Sistem Informasi Inventory Barang Pada Bengkel Honda Berdikari Motor Cucu Tri Ramdani; Muhammad Husen; Manasye Usfal; Thoyyibah T.
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Currently the development of information technology is growing rapidly and demands to create an application that can solve an existing problem but have not found a solution. In the process of knowing the amount of stock of goods sometimes will have difficulty if you have to check manually. Application at BENGKEL HONDA BERDIKARI MOTOR is based on the need for accurate information management in the management of goods status in the company. Before making this information system, the author designed the tables needed first in order to facilitate the manufacture. This information system is made by using PHP and MYSQL programing language as its database. The author use data flow diagram to design the system workflow scheme and ERD to create relationships between tables. The result of this research is to create a web-based inventory and speed up the process of delivering inventory information
Informasi Kemiskinan Rekayasa Perangkat Lunak Habibie Pratama A.N.; Kelvin K. Saputra; Egy Patriasta
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

With regards to executing different destitution mitigation programs, data about who the poor are and where they are is vital. In Indonesia, information sources on destitution are accessible from different sources. Be that as it may, the authority source utilized by the public authority is neediness information from the Focal Department of Measurements (BPS). Destitution information obtained from BPS is much of the time the reason for executing neediness lightening programs by government organizations. In view of the exploration that has been finished, the most common way of deciding destitution information designs involving the Information Disclosure in Data set (KDD) technique and utilizing PPLS information from the Focal Measurements Organization produces seven data designs. The seven data designs are the consequence of bunching/gathering destitution information by locale and neediness level in light of destitution pointers. The designing system of destitution information data programming was assembled utilizing the Quick Application Improvement (RAD) strategy to address the officials for neediness information data.
Perbandingan Rekrutmen Karyawan Menggunakan Metode Simple Additive Weighting (SAW), Weighted Product (WP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Gagan Hariyanto; Alfiansyah Awaludin; Aep Rusmana; Kukuh Ilham Perdana; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Technology in the current era is experiencing very rapid development, as time goes by the need in the world of work for information and data for recruiting employees is getting easier. With the existence of a decision support system, it is an arrangement of computer-based information systems that function as decision support in an organization or company. Making the right decision will make an organization. that achieves its goals properly. The decision support system method is useful for taking alternatives based on certain criteria and weights, including the Simple Additive Weighting, Weighted Product, Technique For Order Preference by Similarity to Ideal Solution methods. A comparison of the decision support system methods will give the highest value of the research results for employee recruitment. Based on a comparison using the three methods, V1 has a higher yield value and ranking than the others.
Analisa Perbandingan Metode SAW, WP Dan TOPSIS Dalam Sistem Keputusan Dendi; Arya Kurniasndi; Muhamad Jukahpin; Fahmi Miftakhul Fuadi; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Decision support system is an arrangement of computer-based information systems that function as decision support in an organization or company. Decision making in determining the provision of financing is very important because with the right decision the provision of financing can be achieved to run well. The decision-making method is useful for determining the best alternative from a number of other alternatives based on certain criteria, including the simple additive weighting method, Weighted Products and Techniques for Order Preference with Similarity to the Ideal Solution. A comparison of the decision support system methods was carried out to determine which method gives the highest value for data accuracy in determining the quality of coffee beans. Based on a comparison of the SAW method, WP and the TOPSIS method, it shows that the weighted product method is more accurate than the simple additive weighting method.

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